Queraugation: A Methodology for Converting Complex Informational Environments into Operational Advantage

I introduce the term queraugation (n.) to designate a class of operations recurrent across several fields but currently unnamed as such: the conversion of partially observable, noisy informational environments into operational advantage through a structural triad of directed inquiry, signal amplification, and operationalisation. I argue that this triad is invariant across its substantive domains — quantitative finance, market microstructure, complex systems science, machine learning, and autonomous scientific discovery — and that no available term captures it as a unit. I propose queraugation as the name of this methodology and provide a complete derivational paradigm to support its use in academic, engineering, and institutional discourse. This is a working paper. Version 1.0, May 2026.